Application of Hyperspectral Imaging Technology in Grain Quality Detection
Hyperspectral imaging(HSI)technology,known for its rapid,objective,extensive,and non-destruc-tive characteristics,has been widely used in fields such as food safety,medical diagnosis,and industrial inspec-tion.In order to comprehensively understand the current application of HSI technology in grain quality detection,this paper summarizes the basic principle,main composition,data processing and analysis of HSI,Focusing on its appli-cation in grain quality detection,this paper highlighted the research progress on the application of HSI technology for detecting moisture content,protein,starch and imperfect grains in grain detection.Additionally,this paper compared the application of deep learning and traditional machine learning in grain quality detection,discussed the problems and challenges faced by HSI technology in sample database construction,measurement sensitivity,and instrument portability,and then proposed improvement measures,aiming to provide references for grain quality evaluation.